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Evaluating the Effectiveness of Index-Based Treatment Allocation
When resources are scarce, an allocation policy is needed to decide who receives a resource.
A Spectral Approach to Off-Policy Evaluation for POMDPs
We consider off-policy evaluation (OPE) in Partially Observable Markov Decision Processes, where the evaluation policy depends only on observable variables but the behavior policy depends on latent states (Tennenholtz et al. (2020a)).
PAC Bounds for Imitation and Model-based Batch Learning of Contextual Markov Decision Processes
First, we derive sample complexity bounds for DPL, and then show that model-based learning from expert actions can, even with a finite model class, be impossible.
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